摘要
粒度计算是粗糙集理论研究的一种强有力的工具。本文讨论了粒度意义下的粗糙集近似,并定义了动态粒度下的正向近似。另外,本文还从粒度的角度讨论了聚类结果和先验知识的协调度问题,并提出了一种基于动态粒度下的正向近似的聚类算法。这些结果将有助于粒度计算和粗糙集理论的研究。
Granular computing is emerging as a powerful tool for rough set theory. In this paper, we discuss rough set approximation under granulation, and establish positive approximation under dynamic granulation. In addition, mea- sure of harmony between clustering and transcendent knowledge is defined, and a clustering arithmetic based on posi- tive approximation under dynamic granulation is proposed. These results will be helpful for studying for granular computing and rough set theory.
出处
《计算机科学》
CSCD
北大核心
2005年第3期219-222,共4页
Computer Science
基金
国家自然科学基金(60275019)
山西省自然科学基金(20031036)
山西省留学基金
关键词
动态粒度
粗糙集理论
粒度计算
聚类算法
协调度
Dynamic granulation
Rough set approximation
Clustering
Measure of harmony
